Overview

Dataset statistics

Number of variables20
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.2 KiB
Average record size in memory160.5 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:26:36.419826
Analysis finished2020-08-25 00:27:34.184905
Duration57.77 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.723007661222027e-10
Minimum-1.829155445098877
Maximum1.6885658502578735
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:34.228450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.829155445
5-th percentile-1.563100845
Q1-0.7898006141
median-0.005554613192
Q30.8821046799
95-th percentile1.510734922
Maximum1.68856585
Range3.517721295
Interquartile range (IQR)1.671905294

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)-1028488343
Kurtosis-1.185431394
Mean-9.723007661e-10
Median Absolute Deviation (MAD)0.8182257712
Skewness-0.04902340705
Sum-2.430751915e-07
Variance1.000000007
2020-08-25T00:27:34.333985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.10937404610.4%
 
-0.0375457964810.4%
 
1.04720675910.4%
 
-1.5006468310.4%
 
-0.0566914118810.4%
 
1.06217515510.4%
 
1.20442199710.4%
 
-1.42414832110.4%
 
1.42298388510.4%
 
1.15265810510.4%
 
0.224892467310.4%
 
1.54230070110.4%
 
-1.76495468610.4%
 
0.67007082710.4%
 
1.49430179610.4%
 
1.6885658510.4%
 
-0.748653590710.4%
 
-0.378977954410.4%
 
0.365188807210.4%
 
-0.306701809210.4%
 
1.50926554210.4%
 
-0.474189251710.4%
 
0.734506666710.4%
 
-0.312076926210.4%
 
1.26099908410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.82915544510.4%
 
-1.78337502510.4%
 
-1.76783287510.4%
 
-1.76495468610.4%
 
-1.72639775310.4%
 
-1.70185911710.4%
 
-1.69919514710.4%
 
-1.68856453910.4%
 
-1.67027664210.4%
 
-1.66872632510.4%
 
ValueCountFrequency (%) 
1.6885658510.4%
 
1.68488264110.4%
 
1.63553214110.4%
 
1.63505828410.4%
 
1.61146926910.4%
 
1.59188878510.4%
 
1.57172155410.4%
 
1.54818224910.4%
 
1.54502999810.4%
 
1.5426460510.4%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1250376736882117e-09
Minimum-1.7345147132873535
Maximum1.7611621618270874
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:34.457387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.734514713
5-th percentile-1.527851784
Q1-0.8737129867
median0.02237186488
Q30.8490636498
95-th percentile1.605331391
Maximum1.761162162
Range3.495676875
Interquartile range (IQR)1.722776636

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)-888859121.8
Kurtosis-1.142083933
Mean-1.125037674e-09
Median Absolute Deviation (MAD)0.8546180064
Skewness0.01587931632
Sum-2.812594184e-07
Variance0.9999999974
2020-08-25T00:27:34.563187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.79199135310.4%
 
0.834197342410.4%
 
-1.15736377210.4%
 
1.02866876110.4%
 
1.44859015910.4%
 
1.6116740710.4%
 
0.874194085610.4%
 
-0.0770474746810.4%
 
1.20932054510.4%
 
-1.33626723310.4%
 
1.63834214210.4%
 
0.55990749610.4%
 
0.575975418110.4%
 
-1.44953727710.4%
 
-1.39547002310.4%
 
-0.976686418110.4%
 
0.144774466810.4%
 
0.83657461410.4%
 
-1.06669640510.4%
 
0.447337895610.4%
 
-1.2574958810.4%
 
0.652973234710.4%
 
-0.22098067410.4%
 
-1.21218049510.4%
 
-1.73451471310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.73451471310.4%
 
-1.73438024510.4%
 
-1.73396325110.4%
 
-1.70643639610.4%
 
-1.66603648710.4%
 
-1.6592110410.4%
 
-1.65711545910.4%
 
-1.64177274710.4%
 
-1.61585307110.4%
 
-1.60555589210.4%
 
ValueCountFrequency (%) 
1.76116216210.4%
 
1.7467662110.4%
 
1.7433860310.4%
 
1.69859707410.4%
 
1.69355523610.4%
 
1.68743622310.4%
 
1.66226208210.4%
 
1.66060507310.4%
 
1.65722620510.4%
 
1.63834214210.4%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.027970135211945e-09
Minimum-1.7370319366455078
Maximum1.6839983463287354
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:34.681367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.737031937
5-th percentile-1.587354767
Q1-0.8335407376
median0.0458996091
Q30.7939985693
95-th percentile1.534120357
Maximum1.683998346
Range3.421030283
Interquartile range (IQR)1.627539307

Descriptive statistics

Standard deviation0.9999999944
Coefficient of variation (CV)248264004.2
Kurtosis-1.203179646
Mean4.027970135e-09
Median Absolute Deviation (MAD)0.8324120846
Skewness-0.05567371008
Sum1.006992534e-06
Variance0.9999999888
2020-08-25T00:27:34.786312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.51464486110.4%
 
1.32258701310.4%
 
-0.344819575510.4%
 
-1.58337640810.4%
 
0.793422162510.4%
 
1.62829041510.4%
 
0.774656653410.4%
 
-1.64625668510.4%
 
-1.13539028210.4%
 
0.0772224962710.4%
 
-1.47140896310.4%
 
0.353592991810.4%
 
1.62045085410.4%
 
1.16732299310.4%
 
-1.24154043210.4%
 
-1.60418224310.4%
 
-1.0461678510.4%
 
0.551426172310.4%
 
-0.614902317510.4%
 
0.308669269110.4%
 
1.15510737910.4%
 
-0.106206551210.4%
 
-0.543113231710.4%
 
0.958152353810.4%
 
-1.50419044510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.73703193710.4%
 
-1.71347355810.4%
 
-1.70874905610.4%
 
-1.7024270310.4%
 
-1.69096505610.4%
 
-1.68679964510.4%
 
-1.67249858410.4%
 
-1.64625668510.4%
 
-1.62298035610.4%
 
-1.61827516610.4%
 
ValueCountFrequency (%) 
1.68399834610.4%
 
1.67546558410.4%
 
1.63113784810.4%
 
1.62829041510.4%
 
1.62809169310.4%
 
1.62806165210.4%
 
1.62045085410.4%
 
1.5969009410.4%
 
1.57521867810.4%
 
1.57187783710.4%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.8766149878501893e-09
Minimum-1.8920377492904663
Maximum1.575398564338684
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:34.901800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.892037749
5-th percentile-1.652635247
Q1-0.8714044243
median0.1288030148
Q30.8501177579
95-th percentile1.371468103
Maximum1.575398564
Range3.467436314
Interquartile range (IQR)1.721522182

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-532874355.6
Kurtosis-1.161579482
Mean-1.876614988e-09
Median Absolute Deviation (MAD)0.8433888257
Skewness-0.2842888165
Sum-4.69153747e-07
Variance1.000000005
2020-08-25T00:27:35.016394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.10142278710.4%
 
-0.238320231410.4%
 
-0.93382668510.4%
 
-0.157167702910.4%
 
1.23227179110.4%
 
-0.357582330710.4%
 
0.107991971110.4%
 
-1.40937995910.4%
 
-0.100789636410.4%
 
-0.508869767210.4%
 
0.353743791610.4%
 
0.816566824910.4%
 
0.846351444710.4%
 
-1.21027767710.4%
 
1.25129044110.4%
 
-0.15177100910.4%
 
1.31370806710.4%
 
-1.5749937310.4%
 
1.2131807810.4%
 
1.19364571610.4%
 
-0.722307205210.4%
 
0.338692605510.4%
 
0.778069615410.4%
 
-1.43484175210.4%
 
-0.362616449610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.89203774910.4%
 
-1.86039352410.4%
 
-1.85117876510.4%
 
-1.84954559810.4%
 
-1.84491789310.4%
 
-1.80736994710.4%
 
-1.78219044210.4%
 
-1.77708756910.4%
 
-1.74990844710.4%
 
-1.74446570910.4%
 
ValueCountFrequency (%) 
1.57539856410.4%
 
1.5670454510.4%
 
1.55435681310.4%
 
1.47353875610.4%
 
1.46074676510.4%
 
1.4505846510.4%
 
1.40394985710.4%
 
1.4029649510.4%
 
1.40099930810.4%
 
1.3960810910.4%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.689419150352478e-09
Minimum-1.626018524169922
Maximum1.7700376510620115
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:35.139601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.626018524
5-th percentile-1.416293013
Q1-0.8982663453
median-0.108616963
Q30.90262492
95-th percentile1.579718411
Maximum1.770037651
Range3.396056175
Interquartile range (IQR)1.800891265

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)-591919417.8
Kurtosis-1.262174961
Mean-1.68941915e-09
Median Absolute Deviation (MAD)0.8660987467
Skewness0.1397312515
Sum-4.223547876e-07
Variance0.9999999998
2020-08-25T00:27:35.249272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.249228894710.4%
 
-0.413655221510.4%
 
0.602236449710.4%
 
-1.55700743210.4%
 
-0.0589428506810.4%
 
1.27467715710.4%
 
-1.09419870410.4%
 
1.07094192510.4%
 
0.629636168510.4%
 
1.5784641510.4%
 
0.243923842910.4%
 
0.397056281610.4%
 
-1.30826175210.4%
 
1.49837553510.4%
 
1.19954609910.4%
 
-0.0645952895310.4%
 
-1.23464775110.4%
 
-0.369557470110.4%
 
0.558752238810.4%
 
1.18683564710.4%
 
-0.418135285410.4%
 
-1.03546249910.4%
 
-0.919096350710.4%
 
-1.41766834310.4%
 
0.958156585710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.62601852410.4%
 
-1.62524771710.4%
 
-1.60465705410.4%
 
-1.59710574210.4%
 
-1.55700743210.4%
 
-1.5331028710.4%
 
-1.51956772810.4%
 
-1.50956404210.4%
 
-1.50407755410.4%
 
-1.48738038510.4%
 
ValueCountFrequency (%) 
1.77003765110.4%
 
1.76769757310.4%
 
1.7670360810.4%
 
1.76501464810.4%
 
1.69541144410.4%
 
1.67650449310.4%
 
1.64729642910.4%
 
1.64050817510.4%
 
1.62080848210.4%
 
1.61513638510.4%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9371509552001952e-10
Minimum-1.7418856620788574
Maximum1.6245719194412231
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:35.365728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.741885662
5-th percentile-1.538056308
Q1-0.8846143931
median-0.05348584615
Q30.9005339146
95-th percentile1.497641546
Maximum1.624571919
Range3.366457582
Interquartile range (IQR)1.785148308

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)5162220330
Kurtosis-1.299667179
Mean1.937150955e-10
Median Absolute Deviation (MAD)0.8911620919
Skewness0.01306796876
Sum4.842877388e-08
Variance1.000000009
2020-08-25T00:27:35.474059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.08007514510.4%
 
1.46523690210.4%
 
-0.322362750810.4%
 
1.46546351910.4%
 
1.31190741110.4%
 
-0.741887152210.4%
 
0.547547638410.4%
 
-0.723327636710.4%
 
0.870296180210.4%
 
1.40562903910.4%
 
1.11254620610.4%
 
0.933909356610.4%
 
1.43882131610.4%
 
1.51498985310.4%
 
-1.18490433710.4%
 
1.34603202310.4%
 
-0.194058492810.4%
 
1.3264998210.4%
 
1.4280593410.4%
 
1.25129735510.4%
 
0.611975848710.4%
 
0.565320849410.4%
 
1.54816365210.4%
 
1.61199533910.4%
 
1.30087244510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.74188566210.4%
 
-1.73073124910.4%
 
-1.72877383210.4%
 
-1.66543865210.4%
 
-1.66123664410.4%
 
-1.65510344510.4%
 
-1.65502321710.4%
 
-1.59105038610.4%
 
-1.57978475110.4%
 
-1.55815970910.4%
 
ValueCountFrequency (%) 
1.62457191910.4%
 
1.61955308910.4%
 
1.61910176310.4%
 
1.61199533910.4%
 
1.59770035710.4%
 
1.59281742610.4%
 
1.5659328710.4%
 
1.54816365210.4%
 
1.53013491610.4%
 
1.52818417510.4%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6046687996151832e-09
Minimum-1.6401478052139282
Maximum1.7087947130203247
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:35.591601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.640147805
5-th percentile-1.556127822
Q1-0.9048661441
median-0.001096113003
Q30.921943903
95-th percentile1.521017671
Maximum1.708794713
Range3.348942518
Interquartile range (IQR)1.826810047

Descriptive statistics

Standard deviation0.9999999995
Coefficient of variation (CV)-623181556.1
Kurtosis-1.259965949
Mean-1.6046688e-09
Median Absolute Deviation (MAD)0.9198506012
Skewness-0.01865774349
Sum-4.011671999e-07
Variance0.9999999991
2020-08-25T00:27:35.698023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.55956888210.4%
 
1.03056716910.4%
 
-0.567736029610.4%
 
0.892258405710.4%
 
0.852706730410.4%
 
1.27865004510.4%
 
0.675945222410.4%
 
0.147867843510.4%
 
1.18196356310.4%
 
-0.896642804110.4%
 
1.4309765110.4%
 
0.319383561610.4%
 
-1.36935985110.4%
 
-1.25030016910.4%
 
1.60772025610.4%
 
-0.89955961710.4%
 
0.909785807110.4%
 
0.554314732610.4%
 
0.0684379786310.4%
 
-1.35134637410.4%
 
-1.19070315410.4%
 
0.973768949510.4%
 
-0.485528051910.4%
 
-0.568004369710.4%
 
0.677866637710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.64014780510.4%
 
-1.63894188410.4%
 
-1.63868749110.4%
 
-1.63668429910.4%
 
-1.63400435410.4%
 
-1.61309325710.4%
 
-1.60118019610.4%
 
-1.59156858910.4%
 
-1.58388698110.4%
 
-1.57971835110.4%
 
ValueCountFrequency (%) 
1.70879471310.4%
 
1.68886840310.4%
 
1.68139851110.4%
 
1.66555309310.4%
 
1.66054618410.4%
 
1.65399324910.4%
 
1.64200198710.4%
 
1.62257766710.4%
 
1.60772025610.4%
 
1.584143410.4%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7886050045490266e-09
Minimum-1.5800975561141968
Maximum1.6624447107315063
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:35.814838image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.580097556
5-th percentile-1.459550381
Q1-0.9332243949
median-0.05421097763
Q30.9300997108
95-th percentile1.509027231
Maximum1.662444711
Range3.242542267
Interquartile range (IQR)1.863324106

Descriptive statistics

Standard deviation0.999999996
Coefficient of variation (CV)-559094933.5
Kurtosis-1.325832452
Mean-1.788605005e-09
Median Absolute Deviation (MAD)0.9102790952
Skewness0.08251205441
Sum-4.471512511e-07
Variance0.9999999921
2020-08-25T00:27:35.923770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.679198563110.4%
 
-0.563628196710.4%
 
-1.46617865610.4%
 
1.28061854810.4%
 
0.712573528310.4%
 
-0.6246818910.4%
 
-1.02895903610.4%
 
1.66244471110.4%
 
1.43685698510.4%
 
0.360434204310.4%
 
-0.784344434710.4%
 
-0.419270813510.4%
 
0.0743206366910.4%
 
0.405872374810.4%
 
0.513826072210.4%
 
1.23174250110.4%
 
-0.516236662910.4%
 
-0.976961076310.4%
 
-1.19201433710.4%
 
-1.45144915610.4%
 
0.461495161110.4%
 
-1.21804714210.4%
 
-0.618786394610.4%
 
-1.11159324610.4%
 
-0.908165872110.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.58009755610.4%
 
-1.5782742510.4%
 
-1.57758808110.4%
 
-1.5735011110.4%
 
-1.5723552710.4%
 
-1.55451095110.4%
 
-1.54368615210.4%
 
-1.52605497810.4%
 
-1.52533125910.4%
 
-1.51416206410.4%
 
ValueCountFrequency (%) 
1.66244471110.4%
 
1.65761399310.4%
 
1.65570354510.4%
 
1.64861428710.4%
 
1.62290954610.4%
 
1.61633896810.4%
 
1.60275995710.4%
 
1.59394276110.4%
 
1.58699214510.4%
 
1.55529034110.4%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1436641216278076e-09
Minimum-1.7197197675704956
Maximum1.5996825695037842
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:36.226026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.719719768
5-th percentile-1.485604364
Q1-0.9318033308
median-0.02821197733
Q30.8744498491
95-th percentile1.458865178
Maximum1.59968257
Range3.319402337
Interquartile range (IQR)1.80625318

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-874382592.9
Kurtosis-1.279482679
Mean-1.143664122e-09
Median Absolute Deviation (MAD)0.9063910246
Skewness-0.05693195117
Sum-2.859160304e-07
Variance1
2020-08-25T00:27:36.332466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.71971976810.4%
 
1.12142038310.4%
 
1.37930452810.4%
 
-0.504592359110.4%
 
-1.44066822510.4%
 
1.39491617710.4%
 
0.398389518310.4%
 
-0.905948996510.4%
 
1.33937513810.4%
 
1.12535154810.4%
 
-1.45835852610.4%
 
0.36605301510.4%
 
1.43686354210.4%
 
-1.52765595910.4%
 
-1.48080086710.4%
 
1.51789009610.4%
 
1.4855916510.4%
 
-0.52977192410.4%
 
-1.61065530810.4%
 
-0.0593169853110.4%
 
0.18631590910.4%
 
-0.700361549910.4%
 
-1.48953449710.4%
 
0.381904929910.4%
 
-1.22488260310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.71971976810.4%
 
-1.71480953710.4%
 
-1.70286357410.4%
 
-1.69787740710.4%
 
-1.69058561310.4%
 
-1.66283190310.4%
 
-1.61065530810.4%
 
-1.6063356410.4%
 
-1.60356271310.4%
 
-1.52765595910.4%
 
ValueCountFrequency (%) 
1.5996825710.4%
 
1.59681534810.4%
 
1.58752107610.4%
 
1.58030462310.4%
 
1.56817185910.4%
 
1.54280805610.4%
 
1.52521240710.4%
 
1.51789009610.4%
 
1.50835609410.4%
 
1.492271910.4%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.80448317527771e-10
Minimum-1.872164011001587
Maximum1.7191814184188845
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:36.447770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.872164011
5-th percentile-1.683070326
Q1-0.7814372629
median0.06514280476
Q30.7764584273
95-th percentile1.501682532
Maximum1.719181418
Range3.591345429
Interquartile range (IQR)1.55789569

Descriptive statistics

Standard deviation0.9999999973
Coefficient of variation (CV)-1281314822
Kurtosis-1.037396629
Mean-7.804483175e-10
Median Absolute Deviation (MAD)0.7806582451
Skewness-0.1872120037
Sum-1.951120794e-07
Variance0.9999999946
2020-08-25T00:27:36.555704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.48705962310.4%
 
1.71590948110.4%
 
1.40225505810.4%
 
-1.33237910310.4%
 
-0.534838795710.4%
 
0.599647700810.4%
 
1.01791131510.4%
 
0.54752886310.4%
 
-0.0547089241410.4%
 
-1.31086695210.4%
 
1.33820664910.4%
 
-0.0640245601510.4%
 
-0.413163691810.4%
 
-1.46648657310.4%
 
-0.120685569910.4%
 
-0.145909190210.4%
 
-1.34885394610.4%
 
0.811662614310.4%
 
0.969372570510.4%
 
0.585582971610.4%
 
0.708066284710.4%
 
1.32131564610.4%
 
0.782353520410.4%
 
0.0738073140410.4%
 
-1.22778630310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.87216401110.4%
 
-1.84868085410.4%
 
-1.83925354510.4%
 
-1.83623683510.4%
 
-1.80499255710.4%
 
-1.79951465110.4%
 
-1.79413425910.4%
 
-1.7846527110.4%
 
-1.76234555210.4%
 
-1.72850978410.4%
 
ValueCountFrequency (%) 
1.71918141810.4%
 
1.71590948110.4%
 
1.66695189510.4%
 
1.65564060210.4%
 
1.64827513710.4%
 
1.63233721310.4%
 
1.61715269110.4%
 
1.60484123210.4%
 
1.57341563710.4%
 
1.52965819810.4%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.618172973394394e-09
Minimum-1.9164844751358032
Maximum1.7765233516693115
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:36.674868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.916484475
5-th percentile-1.704907227
Q1-0.8507116586
median0.0893233642
Q30.8857894093
95-th percentile1.48667621
Maximum1.776523352
Range3.693007827
Interquartile range (IQR)1.736501068

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)617980906.3
Kurtosis-1.102548343
Mean1.618172973e-09
Median Absolute Deviation (MAD)0.8401507139
Skewness-0.1805160547
Sum4.045432433e-07
Variance1.000000001
2020-08-25T00:27:36.779403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.423827886610.4%
 
-0.358474910310.4%
 
1.29137015310.4%
 
-1.79017472310.4%
 
1.62144088710.4%
 
-0.960340976710.4%
 
1.28447616110.4%
 
-1.14974880210.4%
 
-0.554365277310.4%
 
1.11947178810.4%
 
0.840494394310.4%
 
-1.35560464910.4%
 
-1.69074726110.4%
 
1.0647659310.4%
 
-0.749178171210.4%
 
0.15201553710.4%
 
0.383848935410.4%
 
-0.00833710748710.4%
 
-1.8922803410.4%
 
-1.11162507510.4%
 
0.755518317210.4%
 
0.179065406310.4%
 
0.0828422531510.4%
 
1.54519915610.4%
 
0.78724551210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.91648447510.4%
 
-1.89247345910.4%
 
-1.8922803410.4%
 
-1.8844633110.4%
 
-1.88197779710.4%
 
-1.83147251610.4%
 
-1.79017472310.4%
 
-1.73734605310.4%
 
-1.73700094210.4%
 
-1.72259736110.4%
 
ValueCountFrequency (%) 
1.77652335210.4%
 
1.66175913810.4%
 
1.64011740710.4%
 
1.63107860110.4%
 
1.62144088710.4%
 
1.61867785510.4%
 
1.61411404610.4%
 
1.61314547110.4%
 
1.61024916210.4%
 
1.54519915610.4%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4845281839370728e-09
Minimum-1.701177000999451
Maximum1.6969845294952393
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:36.901294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.701177001
5-th percentile-1.480032384
Q1-0.888195768
median-0.009016090538
Q30.886250928
95-th percentile1.566090339
Maximum1.696984529
Range3.39816153
Interquartile range (IQR)1.774446696

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)673614695.5
Kurtosis-1.250432785
Mean1.484528184e-09
Median Absolute Deviation (MAD)0.881174928
Skewness0.07275450578
Sum3.71132046e-07
Variance1.000000001
2020-08-25T00:27:37.010148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.406276881710.4%
 
1.01983833310.4%
 
-1.61713421310.4%
 
0.603209555110.4%
 
-1.43511903310.4%
 
0.0929784551310.4%
 
0.611989498110.4%
 
-0.741870760910.4%
 
0.225628003510.4%
 
0.462204009310.4%
 
1.67903602110.4%
 
-0.900551736410.4%
 
-0.292071849110.4%
 
-0.686234772210.4%
 
1.31378614910.4%
 
-1.43135762210.4%
 
-0.601203024410.4%
 
-0.0789372548510.4%
 
-1.47295486910.4%
 
0.163855522910.4%
 
1.13603627710.4%
 
1.58525276210.4%
 
0.831688344510.4%
 
1.54716467910.4%
 
-0.951314568510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.70117700110.4%
 
-1.70092725810.4%
 
-1.70059084910.4%
 
-1.63343286510.4%
 
-1.61713421310.4%
 
-1.58924925310.4%
 
-1.53866338710.4%
 
-1.53402054310.4%
 
-1.52544248110.4%
 
-1.50240039810.4%
 
ValueCountFrequency (%) 
1.69698452910.4%
 
1.67903602110.4%
 
1.64760005510.4%
 
1.60166478210.4%
 
1.5929448610.4%
 
1.59049034110.4%
 
1.58693134810.4%
 
1.58525276210.4%
 
1.58392250510.4%
 
1.58108079410.4%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.736947006340643e-10
Minimum-1.7822401523590088
Maximum1.6422566175460815
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:37.132382image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.782240152
5-th percentile-1.654198885
Q1-0.8045906276
median-0.01973980665
Q30.8816226274
95-th percentile1.498114306
Maximum1.642256618
Range3.42449677
Interquartile range (IQR)1.686213255

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-1743087398
Kurtosis-1.163034129
Mean-5.736947006e-10
Median Absolute Deviation (MAD)0.826702565
Skewness-0.08553308917
Sum-1.434236752e-07
Variance1.000000006
2020-08-25T00:27:37.237932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.51464736510.4%
 
1.3131632810.4%
 
-0.81854391110.4%
 
1.43395125910.4%
 
-0.671072363910.4%
 
0.205853596310.4%
 
0.324792861910.4%
 
-0.110800199210.4%
 
-0.237995117910.4%
 
-0.648602843310.4%
 
1.1295530810.4%
 
0.214640557810.4%
 
1.30598545110.4%
 
0.240274563410.4%
 
-1.22688162310.4%
 
-0.520664095910.4%
 
-1.59889459610.4%
 
1.43585705810.4%
 
0.425948530410.4%
 
-1.5335099710.4%
 
-0.891749918510.4%
 
-0.547510802710.4%
 
-1.46611118310.4%
 
0.517920970910.4%
 
1.2610312710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.78224015210.4%
 
-1.76736223710.4%
 
-1.76257836810.4%
 
-1.7362700710.4%
 
-1.73092293710.4%
 
-1.72126936910.4%
 
-1.71556234410.4%
 
-1.71183395410.4%
 
-1.70137345810.4%
 
-1.6850953110.4%
 
ValueCountFrequency (%) 
1.64225661810.4%
 
1.63838291210.4%
 
1.63274359710.4%
 
1.61981236910.4%
 
1.6111373910.4%
 
1.61104679110.4%
 
1.53434884510.4%
 
1.52500879810.4%
 
1.5158797510.4%
 
1.51464736510.4%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.063810828900614e-09
Minimum-1.7180649042129517
Maximum1.759889841079712
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:37.356049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.718064904
5-th percentile-1.495740634
Q1-0.9152721912
median0.02498245798
Q30.888387844
95-th percentile1.523555034
Maximum1.759889841
Range3.477954745
Interquartile range (IQR)1.803660035

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)484540533.3
Kurtosis-1.266444237
Mean2.063810829e-09
Median Absolute Deviation (MAD)0.8977631032
Skewness0.02585712274
Sum5.159527072e-07
Variance0.9999999993
2020-08-25T00:27:37.464711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.29491424610.4%
 
0.0923662185710.4%
 
-0.604167878610.4%
 
-1.05601489510.4%
 
1.74741458910.4%
 
0.683997690710.4%
 
-0.106039203710.4%
 
-0.98840999610.4%
 
-0.333318293110.4%
 
0.511901140210.4%
 
-0.123848587310.4%
 
-1.08951520910.4%
 
-0.316731631810.4%
 
0.319417297810.4%
 
-0.175333395610.4%
 
-1.18586492510.4%
 
0.864008963110.4%
 
-0.884356796710.4%
 
0.255921244610.4%
 
-0.975737333310.4%
 
-0.354802668110.4%
 
-0.641749978110.4%
 
0.251293361210.4%
 
0.502093493910.4%
 
-0.619275450710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.71806490410.4%
 
-1.69263935110.4%
 
-1.66422545910.4%
 
-1.65112268910.4%
 
-1.63341474510.4%
 
-1.59048104310.4%
 
-1.5836790810.4%
 
-1.57932853710.4%
 
-1.54795908910.4%
 
-1.53126025210.4%
 
ValueCountFrequency (%) 
1.75988984110.4%
 
1.74741458910.4%
 
1.71625578410.4%
 
1.66815090210.4%
 
1.65396416210.4%
 
1.6273142110.4%
 
1.62486493610.4%
 
1.60545754410.4%
 
1.59376132510.4%
 
1.56006979910.4%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.525746822357178e-09
Minimum-1.8115992546081543
Maximum1.6955876350402832
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:37.582107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.811599255
5-th percentile-1.643139529
Q1-0.8195929527
median0.0572871808
Q30.7948922515
95-th percentile1.56800912
Maximum1.695587635
Range3.50718689
Interquartile range (IQR)1.614485204

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)-395922501.2
Kurtosis-1.114585296
Mean-2.525746822e-09
Median Absolute Deviation (MAD)0.7896318436
Skewness-0.08176505944
Sum-6.314367056e-07
Variance0.9999999985
2020-08-25T00:27:37.690048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.72851371810.4%
 
1.6295695310.4%
 
-0.263760715710.4%
 
-0.777812361710.4%
 
-1.66728544210.4%
 
-0.535326480910.4%
 
0.0138452518710.4%
 
1.45975863910.4%
 
0.384847849610.4%
 
1.1060974610.4%
 
-0.0448709353810.4%
 
-1.01042115710.4%
 
-1.57258522510.4%
 
0.526526272310.4%
 
0.0626769736410.4%
 
-0.991363525410.4%
 
0.0523911155810.4%
 
0.789214551410.4%
 
0.531884968310.4%
 
1.33294725410.4%
 
-1.48368644710.4%
 
0.582171618910.4%
 
0.468680173210.4%
 
1.69558763510.4%
 
-0.206997051810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.81159925510.4%
 
-1.80943357910.4%
 
-1.80436050910.4%
 
-1.78827261910.4%
 
-1.76538181310.4%
 
-1.72851371810.4%
 
-1.68340134610.4%
 
-1.6807142510.4%
 
-1.67290282210.4%
 
-1.66782391110.4%
 
ValueCountFrequency (%) 
1.69558763510.4%
 
1.68114757510.4%
 
1.66567015610.4%
 
1.6462997210.4%
 
1.6295695310.4%
 
1.62532150710.4%
 
1.61802172710.4%
 
1.60952651510.4%
 
1.60789501710.4%
 
1.59324586410.4%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.587454557418823e-09
Minimum-1.6975717544555664
Maximum1.7851321697235107
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:37.810017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.697571754
5-th percentile-1.456665087
Q1-0.8405729234
median-0.02755516348
Q30.834555462
95-th percentile1.613030517
Maximum1.78513217
Range3.482703924
Interquartile range (IQR)1.675128385

Descriptive statistics

Standard deviation0.9999999978
Coefficient of variation (CV)278749174.9
Kurtosis-1.187395863
Mean3.587454557e-09
Median Absolute Deviation (MAD)0.8296978814
Skewness0.07875452312
Sum8.968636394e-07
Variance0.9999999955
2020-08-25T00:27:37.917084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.886228859410.4%
 
0.530441641810.4%
 
-0.271823257210.4%
 
-1.51111829310.4%
 
-1.14001846310.4%
 
1.62402570210.4%
 
1.49157667210.4%
 
1.67516815710.4%
 
1.76403105310.4%
 
-0.705745160610.4%
 
-0.865412294910.4%
 
1.65171849710.4%
 
-1.17004156110.4%
 
0.727710485510.4%
 
0.191934868710.4%
 
-1.20248305810.4%
 
-1.44569683110.4%
 
1.73067021410.4%
 
-1.01107263610.4%
 
-1.09993505510.4%
 
0.714516639710.4%
 
1.24232947810.4%
 
1.42413759210.4%
 
-0.0114922784310.4%
 
0.0165910851210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.69757175410.4%
 
-1.67932474610.4%
 
-1.67397105710.4%
 
-1.65602195310.4%
 
-1.64997732610.4%
 
-1.615776310.4%
 
-1.59374034410.4%
 
-1.5776741510.4%
 
-1.56768965710.4%
 
-1.55870580710.4%
 
ValueCountFrequency (%) 
1.7851321710.4%
 
1.76403105310.4%
 
1.75548338910.4%
 
1.74795174610.4%
 
1.73067021410.4%
 
1.72356164510.4%
 
1.70709264310.4%
 
1.67516815710.4%
 
1.65864515310.4%
 
1.65206646910.4%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.4624168908360387e-09
Minimum-1.6451332569122314
Maximum1.803355097770691
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:38.036525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.645133257
5-th percentile-1.512850213
Q1-0.9215752184
median-0.0001271185465
Q30.8417301625
95-th percentile1.635065079
Maximum1.803355098
Range3.448488355
Interquartile range (IQR)1.763305381

Descriptive statistics

Standard deviation0.9999999938
Coefficient of variation (CV)-406105074.1
Kurtosis-1.183122256
Mean-2.462416891e-09
Median Absolute Deviation (MAD)0.8817278445
Skewness0.06797998764
Sum-6.156042227e-07
Variance0.9999999877
2020-08-25T00:27:38.144078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.847165882610.4%
 
-0.138831540910.4%
 
0.559747755510.4%
 
0.397549450410.4%
 
-0.938162028810.4%
 
0.726736068710.4%
 
0.386804968110.4%
 
0.104757450510.4%
 
-0.297201633510.4%
 
1.23860943310.4%
 
-0.404867827910.4%
 
1.5901633510.4%
 
-0.840489625910.4%
 
0.944003641610.4%
 
0.499343156810.4%
 
-0.268140494810.4%
 
0.791622400310.4%
 
0.139319136710.4%
 
-1.22972691110.4%
 
1.74953806410.4%
 
0.945940434910.4%
 
1.27024364510.4%
 
-0.529434263710.4%
 
-1.05691385310.4%
 
0.439597904710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.64513325710.4%
 
-1.62451183810.4%
 
-1.61878395110.4%
 
-1.61121654510.4%
 
-1.60361194610.4%
 
-1.58773529510.4%
 
-1.56728994810.4%
 
-1.56707620610.4%
 
-1.56183898410.4%
 
-1.56093680910.4%
 
ValueCountFrequency (%) 
1.80335509810.4%
 
1.80053567910.4%
 
1.79896104310.4%
 
1.76613271210.4%
 
1.76366031210.4%
 
1.75273585310.4%
 
1.74953806410.4%
 
1.72613990310.4%
 
1.71670544110.4%
 
1.71103203310.4%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.16487455368042e-09
Minimum-1.770752191543579
Maximum1.6306395530700684
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:38.261683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.770752192
5-th percentile-1.533053601
Q1-0.8451205939
median-0.08315102756
Q30.8592562824
95-th percentile1.545414776
Maximum1.630639553
Range3.401391745
Interquartile range (IQR)1.704376876

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)240103270.1
Kurtosis-1.224785427
Mean4.164874554e-09
Median Absolute Deviation (MAD)0.8701299727
Skewness-0.01226070468
Sum1.041218638e-06
Variance0.9999999998
2020-08-25T00:27:38.371907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.376219838910.4%
 
0.144139945510.4%
 
1.21031057810.4%
 
-1.4812315710.4%
 
0.14742061510.4%
 
-1.58724832510.4%
 
0.685713529610.4%
 
-1.09993612810.4%
 
-1.53352749310.4%
 
1.62239229710.4%
 
-0.484706640210.4%
 
0.814611136910.4%
 
0.662401318610.4%
 
1.60381901310.4%
 
1.63063955310.4%
 
-1.26885139910.4%
 
-0.411437302810.4%
 
-0.66225516810.4%
 
-1.40013742410.4%
 
-0.533345699310.4%
 
-1.21805429510.4%
 
-0.111833587310.4%
 
-0.952773690210.4%
 
0.281317979110.4%
 
-0.603161394610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.77075219210.4%
 
-1.76307356410.4%
 
-1.75356686110.4%
 
-1.74547970310.4%
 
-1.67439734910.4%
 
-1.66701805610.4%
 
-1.62486875110.4%
 
-1.61620867310.4%
 
-1.58724832510.4%
 
-1.58097851310.4%
 
ValueCountFrequency (%) 
1.63063955310.4%
 
1.62773764110.4%
 
1.6233265410.4%
 
1.62239229710.4%
 
1.61451852310.4%
 
1.61383891110.4%
 
1.60381901310.4%
 
1.59062004110.4%
 
1.58634638810.4%
 
1.5805387510.4%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.28642737865448e-10
Minimum-1.6695672273635864
Maximum1.8602668046951292
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:38.492788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.669567227
5-th percentile-1.523335069
Q1-0.8645845354
median-0.016990965
Q30.7753948271
95-th percentile1.641489094
Maximum1.860266805
Range3.529834032
Interquartile range (IQR)1.639979362

Descriptive statistics

Standard deviation0.9999999952
Coefficient of variation (CV)1590728621
Kurtosis-1.084138237
Mean6.286427379e-10
Median Absolute Deviation (MAD)0.821603179
Skewness0.09908724748
Sum1.571606845e-07
Variance0.9999999905
2020-08-25T00:27:38.605015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.60741925210.4%
 
0.748218059510.4%
 
-0.632218480110.4%
 
0.522166490610.4%
 
0.321339935110.4%
 
1.53064954310.4%
 
0.833683133110.4%
 
-1.20544815110.4%
 
-0.558778524410.4%
 
1.86026680510.4%
 
0.953599572210.4%
 
-0.407710909810.4%
 
0.357268065210.4%
 
-1.55797505410.4%
 
1.37632703810.4%
 
1.23177790610.4%
 
-1.37428021410.4%
 
1.16146564510.4%
 
-0.205240711610.4%
 
-0.669444680210.4%
 
-1.10187447110.4%
 
1.26007556910.4%
 
0.219764754210.4%
 
1.36974918810.4%
 
-0.624020516910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.66956722710.4%
 
-1.66642820810.4%
 
-1.65357387110.4%
 
-1.64210450610.4%
 
-1.63916015610.4%
 
-1.63601827610.4%
 
-1.63467466810.4%
 
-1.62372362610.4%
 
-1.61959624310.4%
 
-1.61470258210.4%
 
ValueCountFrequency (%) 
1.86026680510.4%
 
1.84460020110.4%
 
1.83300411710.4%
 
1.83090972910.4%
 
1.81350743810.4%
 
1.79835486410.4%
 
1.78293669210.4%
 
1.7302622810.4%
 
1.73000061510.4%
 
1.72149884710.4%
 

target
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.9276125133037567e-09
Minimum-2.677699565887451
Maximum2.86449933052063
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:27:38.733615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.677699566
5-th percentile-1.592985082
Q1-0.699732095
median-0.05842469446
Q30.7146602124
95-th percentile1.602042902
Maximum2.864499331
Range5.542198896
Interquartile range (IQR)1.414392307

Descriptive statistics

Standard deviation0.9999999939
Coefficient of variation (CV)-341575256.1
Kurtosis-0.2719133591
Mean-2.927612513e-09
Median Absolute Deviation (MAD)0.6925677359
Skewness0.1036608625
Sum-7.319031283e-07
Variance0.9999999878
2020-08-25T00:27:38.841526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.50194978710.4%
 
-0.76431322110.4%
 
-1.16931247710.4%
 
-2.44994497310.4%
 
1.16337645110.4%
 
-0.160567656210.4%
 
0.861503064610.4%
 
0.85222524410.4%
 
-1.01235103610.4%
 
-0.917958438410.4%
 
0.237199619410.4%
 
0.320394933210.4%
 
0.125651568210.4%
 
-0.00947824679310.4%
 
0.38962724810.4%
 
0.332107216110.4%
 
-0.402894437310.4%
 
-0.576323032410.4%
 
-0.856130957610.4%
 
1.29619646110.4%
 
0.317064493910.4%
 
-0.336742579910.4%
 
0.421315193210.4%
 
-0.444752603810.4%
 
1.25809538410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.67769956610.4%
 
-2.44994497310.4%
 
-2.19611120210.4%
 
-2.10083556210.4%
 
-1.89439654410.4%
 
-1.7192641510.4%
 
-1.65492546610.4%
 
-1.64920115510.4%
 
-1.62796831110.4%
 
-1.61955797710.4%
 
ValueCountFrequency (%) 
2.86449933110.4%
 
2.44835019110.4%
 
2.42544364910.4%
 
2.1087961210.4%
 
2.04862189310.4%
 
1.99570608110.4%
 
1.98459851710.4%
 
1.93881595110.4%
 
1.92648994910.4%
 
1.78622150410.4%
 

Interactions

2020-08-25T00:26:37.480511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:37.619394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:37.753331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:37.891289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:38.036716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:38.170702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:38.305614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:38.439494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:38.575923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:38.711867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:38.855761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:38.993771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:39.140594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:39.274173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:39.407537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:39.543600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:39.676385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:39.809399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:39.942339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:40.253032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:40.384205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:40.518287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:40.649844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:40.781042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:40.914432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:41.048174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:41.177563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:41.306435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:41.434273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:41.564630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:41.706440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:41.842838image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:41.970689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:42.103058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:42.232426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:42.361756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:42.490048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:42.620581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:42.749511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:42.882519image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:43.007458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:43.144000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:43.277456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:43.406615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:43.544873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:43.677052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:43.808658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:43.938323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:44.252613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:44.380921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:44.514253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:44.648885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:44.780955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:44.910157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:45.038972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:45.178928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:45.313250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:45.441138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:45.569547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:45.703924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:45.831787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:45.970279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:46.106578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:46.242366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:46.381265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:46.517191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:46.663632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:46.798207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:46.932057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:47.066380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:47.215745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:47.356168image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:47.488817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:47.622940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:47.757877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:47.891271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:26:48.203916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:27:17.156501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:17.286644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:17.416334image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:17.548975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:17.682461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:17.813339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:17.947597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:18.089219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:18.229383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:18.358929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:18.488563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:18.617607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:18.748710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:18.878404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:19.008575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:19.142975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:19.270239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:19.403106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:19.535370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:19.667928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:19.805255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:19.936000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:20.068896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:20.392070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:20.521378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:20.652404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:20.787029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:20.920649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:21.049021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:21.181456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:21.317005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:21.446055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:21.574952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:21.706465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:21.843828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:21.988848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:22.123221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:22.268630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:22.406360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:22.535544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:22.668670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:22.801300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:22.932142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:23.062149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:23.192230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:23.329605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:23.462524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:23.598915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:23.733917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:23.864763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:23.996384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:24.127350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:24.452759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:24.581678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:24.711162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:24.846653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:24.972360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:25.105161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:25.235761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:25.367101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:25.501781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:25.634491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:25.770633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:25.901347image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:26.047925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:26.190946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:26.331574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:26.469446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:26.601122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:26.741890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:26.885071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:27.015482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:27.145930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:27.278561image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:27.411689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:27.555239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:27.684215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:27.826540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:27.961345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:28.096756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:28.241096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:28.579561image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:28.721476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:28.864814image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:28.999468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:29.137446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:29.279692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:29.421327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:29.556248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:29.692751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:29.836434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:29.973158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:30.108607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:30.244916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:30.382390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:30.521256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:30.665335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:30.793236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:30.921480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:31.045818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:31.174462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:31.298440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:31.433697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:31.557721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:31.680811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:31.803925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:31.934339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:32.065904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:32.194163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:32.319868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:32.639188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:32.762730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:32.888555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:33.023988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:33.151596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:33.280370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:27:38.990552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:27:39.492756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:27:39.801023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:27:40.128356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:27:33.551224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:27:34.037241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
00.906119-0.976686-1.471409-1.1681210.916719-0.477912-0.1443630.5060311.1214200.5855830.0828421.2674831.2270700.512673-0.3163760.7640320.341000-1.1074190.7482180.140583
11.1668241.449957-1.7370320.5381881.046447-1.155017-1.0277950.1798331.1539680.4637870.3584060.611989-0.035685-0.6797731.6463001.032227-1.611217-0.3788490.1668400.181098
20.041094-1.510426-0.4378860.7705490.011680-0.3223631.660546-1.076787-0.0419580.0564780.103341-1.207674-0.8709340.763379-1.027196-0.684157-0.482087-0.4373120.2528160.126466
30.7158960.0859021.575219-0.167203-1.035462-0.176345-0.030851-0.445566-1.357909-1.434748-0.763211-0.535655-0.4295870.730006-0.587663-1.5111181.027051-1.004416-1.557975-0.917958
4-0.949566-1.157364-0.7554861.1676320.0591621.224522-1.190703-1.311941-0.3572730.6431741.3456460.1638560.1065641.2949140.105456-1.0342510.073208-0.484707-0.949728-1.125706
51.3907080.957713-0.177691-0.7363591.369104-1.143658-0.2736281.6027600.767120-1.2485350.952381-0.5997370.441350-1.223715-0.823380-0.400592-0.3726241.200717-0.885004-0.843366
60.719115-1.4925170.2425220.825288-0.123724-0.0368870.1779670.6450910.586818-0.0978930.697583-1.0463620.5534220.3631331.0570140.538922-0.936693-1.3024600.892044-0.066701
70.690769-1.500122-0.4093070.110917-1.233092-0.556714-1.2215161.6229100.398390-1.548359-0.434368-1.538663-0.8327281.3252970.673214-0.522971-0.9218920.8562760.0797610.400587
81.4755800.304009-0.3448200.3815791.4681061.5281840.949239-0.662429-1.083643-0.1545560.7555180.609896-0.408809-0.3167321.0381351.6751680.4751270.933031-1.371976-0.053127
90.1441261.1263971.1795511.0734380.3140210.611976-1.037710-1.543686-0.7265280.9693730.7420741.4898571.290324-1.453837-1.680714-0.8254340.5778891.362007-1.2802960.317064

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
240-1.427567-0.404535-0.7507900.663029-0.0645950.2181990.068438-0.908166-1.719720-0.973582-1.428077-0.9216530.7699351.552443-1.5725851.624026-0.0368211.2871631.607419-1.489054
2410.5167791.7611620.4010470.353744-0.478451-0.512907-0.7451021.346852-0.9614300.908666-0.139862-0.4673060.9791680.5119010.062677-0.3662980.791622-1.266765-0.3285700.583580
2421.297613-1.734515-0.5953080.656728-0.7615120.5653211.708795-1.048218-0.974857-1.685516-0.092617-1.4981630.623419-0.334339-0.2166080.351336-0.1032220.618182-1.071685-0.162189
2431.542301-1.3230440.2131480.093139-1.625248-0.955862-0.0592100.2937220.920699-0.9428050.5536821.555817-0.4839200.908072-1.416445-1.2357580.225970-0.749991-0.2293490.602146
2441.6885661.118310-0.4257940.5369130.299199-1.256365-0.9925680.3455520.632079-0.590272-0.418554-0.951570-1.213575-0.8925660.6649170.2057081.7261401.076409-0.5048980.755952
2451.4835920.649442-0.617244-0.660518-1.1259550.893140-0.460114-0.719822-0.086391-0.181850-1.7225971.0198381.1208601.005947-1.501605-0.258272-0.5814600.365418-1.0135560.722413
246-0.2728530.4538111.2495750.864371-1.1761091.465237-0.2146590.5515351.286633-1.4249261.036195-0.8127610.3805430.825565-1.4595380.8223280.781772-0.6859961.833004-0.290354
2470.814288-0.604575-1.310289-1.2256800.149465-1.1849040.5081611.2038321.239469-1.1443820.451222-1.502400-1.3725311.3986610.057042-0.901746-1.4494991.603819-0.558779-0.764313
248-0.5316410.100182-0.975664-0.471882-0.058943-1.206931-1.2592241.2050391.2096291.1896950.151687-0.650838-1.3884260.896205-0.7522880.7277101.568245-1.763074-1.123800-1.261419
249-0.0092261.4819841.341252-0.497808-0.7131111.5928170.8527070.763176-1.3739510.0146561.1194720.5055070.728240-0.529878-1.2161250.222502-0.1736960.4432870.297245-2.100836